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Allocation of waste cost in thermoeconomic analysis

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  • Agudelo, Andrés
  • Valero, Antonio
  • Torres, César

Abstract

In any energy system there are unwanted residual output flows that are necessary to obtain final products. These are known as waste, and represent an exergy loss that has an inherent cost that must be “charged” to the useful products of the system. Calculation of production costs including waste depends on the allocation of these to productive components. The right way to allocate waste is by identifying the formation process of their cost, since every productive component must be charged only by the part of a waste cost it contributed to. Waste cost allocation is done by means of so called waste cost distribution ratios. Nevertheless, there is no a definitive way to determine these ratios. In this work we propose an improved definition of waste cost distribution ratios, based on the premise that waste must be allocated to the productive units that generated their cost. Two energy systems are used as case studies to demonstrate the methodology. It was found that the allocation of waste is significantly improved with the new methodology. Quantitative and qualitative results are satisfactory, since the cost formation process of waste is identified, allowing to perform an improved thermoeconomic analysis.

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  • Agudelo, Andrés & Valero, Antonio & Torres, César, 2012. "Allocation of waste cost in thermoeconomic analysis," Energy, Elsevier, vol. 45(1), pages 634-643.
    • Handle: RePEc:eee:energy:v:45:y:2012:i:1:p:634-643
    DOI: 10.1016/j.energy.2012.07.034
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    3. Rosseto de Faria, Pedro & Aiolfi Barone, Marcelo & Guedes dos Santos, Rodrigo & Santos, José Joaquim C.S., 2023. "The environment as a thermoeconomic diagram device for the systematic and automatic waste and environmental cost internalization in thermal systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. Gao, Jintong & Zhang, Qi & Wang, Xiaozhuang & Song, Dayong & Liu, Weiqi & Liu, Wenchao, 2018. "Exergy and exergoeconomic analyses with modeling for CO2 allocation of coal-fired CHP plants," Energy, Elsevier, vol. 152(C), pages 562-575.
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    6. Karaali, Rabi & Öztürk, İlhan Tekin, 2015. "Thermoeconomic optimization of gas turbine cogeneration plants," Energy, Elsevier, vol. 80(C), pages 474-485.
    7. Ferrara, G. & Lanzini, A. & Leone, P. & Ho, M.T. & Wiley, D.E., 2017. "Exergetic and exergoeconomic analysis of post-combustion CO2 capture using MEA-solvent chemical absorption," Energy, Elsevier, vol. 130(C), pages 113-128.
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    9. Flórez-Orrego, Daniel & de Oliveira Junior, Silvio, 2016. "On the efficiency, exergy costs and CO2 emission cost allocation for an integrated syngas and ammonia production plant," Energy, Elsevier, vol. 117(P2), pages 341-360.
    10. Valero, Antonio & Usón, Sergio & Torres, César & Valero, Alicia & Agudelo, Andrés & Costa, Jorge, 2013. "Thermoeconomic tools for the analysis of eco-industrial parks," Energy, Elsevier, vol. 62(C), pages 62-72.
    11. Torres, César & Valero, Antonio & Valero, Alicia, 2013. "Exergoecology as a tool for ecological modelling. The case of the US food production chain," Ecological Modelling, Elsevier, vol. 255(C), pages 21-28.
    12. dos Santos, Rodrigo G. & de Faria, Pedro R. & Santos, José J.C.S. & da Silva, Julio A.M. & Flórez-Orrego, Daniel, 2016. "Thermoeconomic modeling for CO2 allocation in steam and gas turbine cogeneration systems," Energy, Elsevier, vol. 117(P2), pages 590-603.
    13. Lamas, Wendell de Queiroz, 2013. "Fuzzy thermoeconomic optimisation applied to a small waste water treatment plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 214-219.

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